Description: n order to evaluate the performance of ELM, test the application of ELM in the near infrared spectroscopy based on the determination of gasoline octane value and two kinds of problems of iris recognition, and the results of the traditional feedforward networks (BP, RBF, PNN, GRNN) to compare the performance and speed, and to explore the hidden layer number effect on the performance of ELM neurons.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| ELM代码\elmpredict.m | 1454 | 2010-11-07
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| ELM代码\elmtrain.m | 1752 | 2010-11-07
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| ELM代码\iris_data.mat | 1105 | 2010-10-17
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| ELM代码\main.asv | 2409 | 2017-08-28
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| ELM代码\main.m | 2411 | 2017-08-27
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| ELM代码\spectra_data.mat | 171497 | 2010-10-14
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| ELM代码 |
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